llm
config_error
ai_generated
true
openai.BadRequestError: 'response_format' parameter is not supported when using 'tools' parameter
ID: llm/function-call-json-mode-conflict
85%Fix Rate
88%Confidence
1Evidence
2024-04-15First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| openai>=1.0.0 | active | — | — | — |
| gpt-4-turbo-2024-04-09 | active | — | — | — |
| gpt-4o-2024-05-13 | active | — | — | — |
Root Cause
OpenAI API enforces mutual exclusivity between structured output via response_format and function/tool calling; both cannot be specified in the same request.
generic中文
OpenAI API 强制要求通过 response_format 进行结构化输出与函数/工具调用互斥,同一请求中不能同时指定两者。
Official Documentation
https://platform.openai.com/docs/guides/structured-outputs/supported-modelsWorkarounds
-
85% success Use function calling with a single tool that wraps the desired structured output: define a function with the output schema as its parameters, and parse the function call arguments as the structured result.
Use function calling with a single tool that wraps the desired structured output: define a function with the output schema as its parameters, and parse the function call arguments as the structured result.
-
70% success Use JSON mode with response_format and handle tool calls manually via prompt engineering: include tool descriptions in the system message and parse the LLM's natural language response to extract tool calls.
Use JSON mode with response_format and handle tool calls manually via prompt engineering: include tool descriptions in the system message and parse the LLM's natural language response to extract tool calls.
-
80% success If using OpenAI Python SDK v1.x, pass tools=None explicitly when using response_format, and manage tool logic separately in a post-processing step.
If using OpenAI Python SDK v1.x, pass tools=None explicitly when using response_format, and manage tool logic separately in a post-processing step.
中文步骤
使用单个工具的函数调用包装所需的结构化输出:定义一个函数,其参数为输出模式,并将函数调用参数解析为结构化结果。
使用带有 response_format 的 JSON 模式,通过提示工程手动处理工具调用:在系统消息中包含工具描述,并解析 LLM 的自然语言响应以提取工具调用。
如果使用 OpenAI Python SDK v1.x,在使用 response_format 时显式传递 tools=None,并在后处理步骤中单独管理工具逻辑。
Dead Ends
Common approaches that don't work:
-
75% fail
LLM cannot reliably execute tool calls without explicit tools parameter; output format may not match expected schema
-
90% fail
response_format enforces strict output schema; tool calls have reserved structure that conflicts with arbitrary schemas
-
60% fail
Older API versions may lack the feature entirely or have different buggy behavior; not a sustainable fix